Triple

T3522207
Position Surface form Disambiguated ID Type / Status
Subject Kven people E74447 entity
Predicate recognizedLanguageSince P11406 FINISHED
Object 2005 LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2005 | Statement: [Kven people, recognizedLanguageSince, 2005]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recognizedLanguageSince
Context triple: [Kven people, recognizedLanguageSince, 2005]
  • A. recognizedLanguage
    Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
  • B. languageIntroduced
    Indicates that a particular language was brought into use or made known within a certain context, time, or place.
  • C. recognizedSince chosen
    Indicates that one entity has formally acknowledged, accepted, or identified another entity as valid or legitimate starting from a specific point in time.
  • D. recognizedAsDistinctLanguageFrom
    Indicates that one language is formally acknowledged or treated as a separate and distinct language from another, rather than as a dialect or variant of it.
  • E. isWorkingLanguageOf
    Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4dd6d48190a5a3f4b86c82b86c completed March 8, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69adae121a048190b03825a001d21f49 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:19 p.m.